Abstract The present paper introduces a Legendre polynomials based interval inversion method for processing multi-borehole logging data. allows the determination of lateral changes layer-thicknesses together with vertical and variations petrophysical parameters along 2D cross-section several boreholes. is assessed using noisy synthetic measurements model made two-layers structure related to hyd...

Optimization of reservoir parameters is an important issue in petroleum exploration and production. The Ant Colony Optimization(ACO) is a recent approach to solve discrete and continuous optimization problems. In this paper, the Ant Colony Optimization is usedas an intelligent tool to estimate reservoir rock properties. The methodology is illustrated by using a case study on shear wave velocity...

In this paper, 2D seismic data and petrophysical logs of the Pabdeh Formation from four wells of the Mansuri oil field are utilized. ΔLog R method was used to generate a continuous TOC log from petrophysical data. The calculated TOC values by ΔLog R method, used for a multi-attribute seismic analysis. In this study, seismic inversion was performed based on neural networks algorithm and the resu...

The relationships between thermal conductivity and other petrophysical properties have been analysed for a borehole drilled in a Tertiary Flysch sequence. We establish equations that permit us to predict rock thermal conductivity from logging data. A regression analysis of thermal conductivity, bulk density, and sonic velocity yields thermal conductivity with an average accuracy of better than ...

Multi-dimensional and multi-variable heterogeneous petrophysical reservoir models were constructed based on stochastic analysis of well logs. With a full wave form visco-elastic finite difference modeling software, a numerical experiment (cross borehole survey) was conducted to study the impact of Pand S-wave scattering, wave mode conversion, leaky mode mechanism and their integration on the ap...

Joint inversion of different geophysical data sets has recently received considerable attention. Different geophysical methods are sensitive to different physical properties and their variations on different scales, and joint inversion provides a way to combine these complementary information contained in each data set by integrating all the geophysical data into a single inversion scheme. The ...